mlsanityData to 7 Oct 2026

Cem Mil Podcasts: A Spoken Portuguese Document Corpus For Multi-modal, Multi-lingual and Multi-Dialect Information Access Research

arXiv 2209.11871 ↗First posted 23 Sep 2022cs.CLcited by 6

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Abstract (arXiv)

In this paper we describe the Portuguese-language podcast dataset we have released for academic research purposes. We give an overview of how the data was sampled, descriptive statistics over the collection, as well as information about the distribution over Brazilian and Portuguese dialects. We give results from experiments on multi-lingual summarization, showing that summarizing podcast transcripts can be performed well by a system supporting both English and Portuguese. We also show experiments on Portuguese podcast genre classification using text metadata. Combining this collection with previously released English-language collection opens up the potential for multi-modal, multi-lingual and multi-dialect podcast information access research.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 9 of its 23 references that are in the map. First posted on arXiv 23 Sep 2022.

Builds on

9 of 23 references.

References · 9

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  3. 2020Longformer: The Long-Document Transformercited by 3,362
  4. 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,813
  5. 2020Multilingual Denoising Pre-training for Neural Machine Translationcited by 1,028
  6. 2020Beyond English-Centric Multilingual Machine Translationcited by 559
  7. 2020Multilingual Translation with Extensible Multilingual Pretraining and Finetuningcited by 287
  8. 2021TREC 2020 Podcasts Track Overviewcited by 13
  9. 2021Detecting Extraneous Content in Podcastscited by 7

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 2; 2026: 2.

6 papers.

  1. 2025Summarizing Speech: A Comprehensive Surveycited by 5
  2. 2024The Greek podcast corpus: Competitive speech models for low-resourced languages with weakly supervised datacited by 4
  3. 2026Towards Multi-Level Transcript Segmentation: LoRA Fine-Tuning for Table-of-Contents Generationcited by 4
  4. 2024A Large Dataset of Spontaneous Speech with the Accent Spoken in S~ao Paulo for Automatic Speech Recognition Evaluationcited by 3
  5. 2025CAM~OES: A Comprehensive Automatic Speech Recognition Benchmark for European Portuguesecited by 2
  6. 2026Tagarela - A Portuguese speech dataset from podcastscited by 0